Teneika Askew

US Navy

The consultant has become the client! I've returned as Product Manager and leader in the Navy's first data focused consulting division, Data and Digital Transformation. I will be bringing my entrepreneurial spirt to build, launch and direct the Data Science as a Service and Analytics Enablement portfolio of products and services.

Stack: Databricks, AWS

Product Director - Data Science & Analytics Enablement 

CompTIA

• As a CAC appointee, I provide advice and guidance to CompTIA regarding the strategic direction of the industry's leading certifications related to data science & machine learning.

• As a SME, I contribute to the development phases of CompTIA’s Data Science+ certification exam. This includes participating in Job Task Analysis (JTA) workshops, helping to identify exam domains & objectives, and assisting with item writing & review.

Data Certification Advisory Committee (CAC)

Clicked

Artificial Intelligence Coach and Marketing Consultant

Correlation One

Empowerment is a 4-5 month, high-intensity, part-time program teaching data skills through real world business cases and live, business provided or fellow researched datasets while solving AI challenges.

Introduced 7+ sponsors/partners . (OneTen, McKinsey, Hulu, Accenture, JFF, etc..) after extensive market research and talent development opportunities such as college credit.

Data Science Instructor, Head Teaching Assistant and Strategic Program Advisor

Receive Top Teaching Assistant recognition across 50 Teaching Assistants!
Provides mentorship and support for 50+ fellows across 7 projects. Rated in top 5% among Teaching Assistant by fellow reviews.
Curates custom curriculum for the Data Science for All Product, tailored specifically for Product Analytics, Tableau and professional development workshops and lectures. Provides instruction to 750+ fellows for Tableau, Algorithmic Bias and Product tracks on Saturday's.

Data Science Instructor, Teaching Assistant and Strategic Program Advisor

Partners with product, curriculum and program leaders to achieve learning objectives of 4+ programs and optimal functionality of tools/technology in the proprietary LMS, such as Grading/Attendance, Insights, Jupyter Notebooks, Workspaces, Forums, and lesson outlines/content.

Serves as a change agent, championing new and innovational customer- and industry-focused data informed products, driving inclusive and equitable data science, AI/ML education strategies across 6+ cohorts,  aligning to industry and partner talent objective and metrics.

Strategic Program Advisor

Samsung Innovation Campus

Artificial Intelligence Coach

Uplimit

Designed and instructed Visualization with Tableau 4-week course.

Analytics Coach (Tableau)

Codecademy

Senior Curriculum Developer (Product and Project Management)

SkillUp

Provided data science expertise and career prep guidance and videos for several IBM Coursera courses.

Data Science SME (IBM Coursera Courses)

Bill & Melinda Gates Foundation

Partnered with ABG to provide strategy and key recommendations for an organization wide analytics enablement, cloud deployment initiative. Delivered tailored workshops to help the organization reach a common data model supporting mission driven insights, KPIs and roadmaps to Bill and Melinda Gates funded non-profits in the South Africa region.
Tools: Microsoft 365, Azure, Power BI, Oracle

Analytics Consultant

Mozilla

Teneika developed the global People Analytics function from ideation, providing delivery of self-service analytics tools, insight-driven solutions and advisory services for Mozilla’s workforce. She specializes in applying storytelling and analytics to aid the SVP, Steering Committee, HRBPs and leadership in data driven decision-making of talent-related questions. Tools: Workday, Greenhouse, Power BI, Tableau, BigQuery, SQL, M Language, DAX, AWS Redshift, Tableau Server, CultureAmp
• Quickly developed relationship as trusted advisor to Executive Leadership team and served as Product Owner for an implementation; identified key risks in ETL processes, resulting in savings within 60 days of hire
• Designed and developed a comprehensive analytics modernization roadmap and interactive dashboards for critical executive-level meetings, allowing visibility into trends, headcount, attrition, culture surveys, vacancy, hires, and market insights
• Partnered with SVPs of Talent Acquisition, People, Diversity & Inclusion and business leaders to drive data-driven decisions and influence program and policy changes for Racial Justice Commitments, within 90 days of hire; 5% increase in Black/Latinx talent
• Managed multiple global projects and stakeholders involving delivery self-service analytics solutions in Tableau / Tableau Server with disparate data sources such as a Talent Acquisition Dashboard and D&I Scorecard
• Created a workforce reduction and planning model leveraging PowerQuery as a strategic tool for reduction in force decisions and talent related concerns that lead to business impact – resulted in 31% reduction in planning hours
• Led future of work effort to reclassify job families into new “Tech/Non-Tech” definition, resulting in 14% change across company
• Fully launched the global People Analytics function, frameworks for identifying business problems, the governance model for data, product and people roadmaps and 5 work products, within 6 months of hire

Head of People Analytics

Analytics Product Manager | AI/ML | Social Entrepreneur | Data Scientist | Mentor | Big 4 | DS4A | Spartan Racer

Teneika Askew is an Analytics Leader with more than 10 years of experience providing analytics, business process improvement and consulting services. She specializes in data analyses around financial, talent and operational data and driving workforce strategies for Fortune 500 companies.

Teneika uses Power BI, Tableau, SQL and Python to create 100% data-driven, innovative insights using organizational data. She also trains colleagues and the communities she serves with open data made available through the DATA Act.

Teneika also has extensive experience with business analysis for commercial, not for profit, and governmental entities. Her strengths are in performing complex analyses to identify and understand processes, gaps and transactions to answer difficult to solve problems.

Awards: Globant US Digital Leader. Women of Color in STEM - Technology All Star Award. Values in Practice. Applaud Awards (3X). Performance and Team Awards (6X). She Rocks the World, Fearless Leader. Diversity & Inclusion Driver Award. Grace Hopper Women of Color in Tech Scholar. People Analytics World Speaker. Society of Women Engineers Speaker. Distinguished Scholar and Honors level in Data Science for All fellowship(s). Top Teaching Assistant.

Certifications: Microsoft Data Analyst, Certified Scrum Master, Tableau Desktop Specialist, AWS Solution Architect. COBIT 5, ITIL, Agile Certified Practitioner and Microsoft Certified Trainer

Fellowships: Data Science for All - Empowerment and Data Science for All - Women's Summit

Recognized as US Digital Leader by Globant in the annual edition of the Globant Awards - Women that Build,  a global recognition that seeks to change the reality of the industry and reduce the gender gap, highlighting professionals who inspire, who build, who lead and help create change. 
http://womenawards.globant.com/3335/Teneika-Askew
This award recognizes innovative women who are leaders in their organizations and who have been impacting change in the IT industry for at least 10 years.

Featured in Business Insider, Tech Crunch and eFinancial.

teneikaaskew.com | @teneikaask_you on Twitter

Group Product Director - Data Science & Analytics Enablement

Lockheed Martin

Senior Machine Learning Engineer

Protective Life

- Hired, trained, and managed Protective's first Data Scientist for the summer intern program. Expanded to two interns for the next summer.
- Led model development for the accelerated underwriting program.

Lead Data Scientist

- Developed AI/ML Models in Python for Protective Life's Accelerated Underwriting Program.

- Built model monitoring capabilities from scratch in Python to identify data issues impacting the production model.

- Collaborate with actuarial and underwriting teams to assess and improve mortality.

- Onboarded and mentored two junior data scientists and hired first data science intern

Senior Data Scientist

- Developed prototype recommendation engine in Python to identify potential additional suppliers for sole sourced parts.

- Built Python ETL and Tableau dashboards to automate reports - reduced time to build reports from 2 weeks to daily automatically updating dashboards.

Senior Data Scientist Analyst - Supply Chain

- Helped develop and implement a random forest model in R to predict the cause of quality defects.

- A/B tested part measurements and performed Statistical Process Control to reduce supplier recurring defects.

Data Analyst - Supplier Quality Engineering

The University of Alabama

Built and automated graphs, metrics, and reports using Python, SQL, Tableau, R, and Excel.

Researched clustering methods on medical condition data.

Contributed to Alabama Medicaire Research Project.

Data Scientist - Graduate Research - Institute of Data Analytics

From broke student with no skills to Data Analyst to Sr. Data Analyst to Sr. Data Scientist to Lead Data Scientist to Sr. Machine Learning Engineer.

Message me "CAREER" if you are interested in 1x1 Career Coaching for Data Science/Analytics and Machine Learning.

I’ve learned many lessons along the way and I’m sharing them all on LinkedIn.

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The views expressed in my LinkedIn posts are mine and do not necessarily reflect the views of Lockheed Martin.

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